| All-in-one: Multi-task learning bert models for evaluating peer assessments Q Jia, J Cui, Y Xiao, C Liu, P Rashid, EF Gehringer arXiv preprint arXiv:2110.03895, 2021 | 47 | 2021 |
| Detecting Suggestions in Peer Assessments. G Zingle, B Radhakrishnan, Y Xiao, E Gehringer, Z Xiao, F Pramudianto, ... International Educational Data Mining Society, 2019 | 27 | 2019 |
| Insta-Reviewer: A Data-Driven Approach for Generating Instant Feedback on Students' Project Reports. Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer International Educational Data Mining Society, 2022 | 25 | 2022 |
| A new era of plagiarism the danger of cheating using AI Y Xiao, S Chatterjee, E Gehringer 2022 20th International Conference on Information Technology Based Higher …, 2022 | 19 | 2022 |
| Detecting problem statements in peer assessments Y Xiao, G Zingle, Q Jia, HR Shah, Y Zhang, T Li, M Karovaliya, W Zhao, ... arXiv preprint arXiv:2006.04532, 2020 | 16 | 2020 |
| Automated feedback generation for student project reports: A data-driven approach Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer Journal of Educational Data Mining 14 (3), 132-161, 2022 | 7 | 2022 |
| Can pre-class github contributions predict success by student teams? J Cui, R Li, K Lou, C Liu, Y Xiao, Q Jia, E Gehringer, R Zhang Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 6 | 2022 |
| Modeling review helpfulness with augmented transformer neural networks Y Xiao, T Wang, X Sun, Y Li, Y Song, J Cui, Q Jia, C Liu, EF Gehringer 2022 IEEE 16th International Conference on Semantic Computing (ICSC), 83-90, 2022 | 6 | 2022 |
| Improving Problem Detection in Peer Assessment through Pseudo-Labeling Using Semi-Supervised Learning. C Liu, J Cui, R Shang, Y Xiao, Q Jia, E Gehringer International Educational Data Mining Society, 2022 | 5 | 2022 |
| All-in-one: Multi-task learning BERT models for evaluating peer assessments. arXiv Q Jia, J Cui, Y Xiao, C Liu, P Rashid, EF Gehringer | 5 | 2021 |
| Problem Detection in Peer Assessments between Subjects by Effective Transfer Learning and Active Learning. Y Xiao, G Zingle, Q Jia, S Akbar, Y Song, M Dong, L Qi, E Gehringer International Educational Data Mining Society, 2020 | 5 | 2020 |
| Peer assessment rubric analyzer: An nlp approach to analyzing rubric items for better peer-review MP Rashid, EF Gehringer, M Young, D Doshi, Q Jia, Y Xiao 2021 19th International Conference on Information Technology Based Higher …, 2021 | 4 | 2021 |
| Going beyond" Good Job": Analyzing Helpful Feedback from the Student's Perspective. MP Rashid, Y Xiao, EF Gehringer International Educational Data Mining Society, 2022 | 3 | 2022 |
| Suitability of SCS1 as a Pre-CS2 Assessment Instrument: A Comparison with Short Deliberate-practice Questions Y Song, Y Xiao, J Stephens, E Ruesch, S Roginski, L Layman Proceedings of the 2020 ACM Southeast Conference, 313-314, 2020 | 3 | 2020 |
| PyRoboCar: A Low-cost Deep Neural Network-based Autonomous Car G Hendry, S Harris, R Goodwin, L Neverov, Y Xiao, D Tian, Y Song 2021 IEEE Frontiers in Education Conference (FIE), 1-5, 2021 | 2 | 2021 |
| Estimating student grades through peer assessment as a crowdsourcing calibration problem Y Xiao, Y Gao, C Yue, E Gehringer 2022 20th International Conference on Information Technology Based Higher …, 2022 | 1 | 2022 |
| What kind of peer-assessment comments help improve learning outcomes? Evidence from a programming course Y Xiao, Q Jia, J Cui | | 2021 |
| The character image information labeling method of neural network aiding 谭培波， 肖运凯， 么新新， 张学龙， 刘伟华， 高艳 CN Patent CN109,522,892 A, 2019 | | 2019 |
| Enhance Handwriting Script Recognition with Language Modeling Y Xiao, C Guinn, D Kline, K Ricanek Annals of the Master of Science in Computer Science and Information Systems …, 2017 | | 2017 |
| Journal in Academic Data Mining Q Jia, M Young, Y Xiao, J Cui, C Liu, P Rashid, E Gehringer | | |
Ed GehringerComputer Science, North Carolina State University在 ncsu.edu 的电子邮件经过验证
